We introduce an architecture for processing signals supported on hypergr...
Learning-based controllers, such as neural network (NN) controllers, can...
Supervised operator learning is an emerging machine learning paradigm wi...
We propose a framework for provably stable local control of multi-contac...
We propose a method to efficiently estimate the eigenvalues of any arbit...
The fragility of deep neural networks to adversarially-chosen inputs has...
While many robotic tasks, like manipulation and locomotion, are fundamen...
Network alignment consists of finding a correspondence between the nodes...